语言大模型 / LLM

FLEx: Personalized Federated Learning for Mixture-of-Experts LLMs via Expert Grafting

Fan Liu, Bikang Pan, Zhongyi Wang, Xi Yao, Xiaoying Tang, Jingya Wang, Ye Shi

机构 * ShanghaiTech University（上海科技大学） ； China Mobile Communications Company Limited Research Institute（中国移动通信公司有限研究所） ； Shanghai University（上海大学） ； The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；分类 cs.AI

LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation

Steven Song, Anirudh Subramanyam, Irene Madejski, Robert L. Grossman

机构 * Department of Computer Science（计算机科学系） ； Center for Translational Data Science（转化数据科学中心） ； Medical Scientist Training Program（医学科学家培训计划） ； Section of Biomedical Data Science, Department of Medicine（医学部生物医学数据科学部门） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Text Clustering as Classification with LLMs

Chen Huang, Guoxiu He

机构 * Singapore University of Technology and Design（新加坡科技设计大学） ； East China Normal University（华东师范大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Comments 11 pages, 3 figures

HNote: Extending YNote with Hexadecimal Encoding for Fine-Tuning LLMs in Music Modeling

Hung-Ying Chu, Shao-Yu Wei, Guan-Wei Chen, Tzu-Wei Hung, ChengYang Tsai, Yu-Cheng Lin

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data

Zhengkang Guo, Wenhao Liu, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Yuanzhe Shen, Qi Qian, Muling Wu, Xiaohua Wang, Changze Lv, He-Da Wang, Hu Yao, Xiaoqing Zheng, Xuanjing Huang

机构 * Fudan University（复旦大学） ； Xiaohongshu Inc.（小红书公司） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study

Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier, Claudia Wagner

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL

OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space Alignment

Teng Xiao, Zuchao Li, Lefei Zhang

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.LG

Exploring the Design Space of 3D MLLMs for CT Report Generation

Mohammed Baharoon, Jun Ma, Congyu Fang, Augustin Toma, Bo Wang

机构 * Vector Institute for Artificial Intelligence（向量人工智能研究所） ； Department of Biomedical Informatics, Harvard Medical School（生物医学信息学系，哈佛医学院） ； Peter Munk Cardiac Centre, University Health Network（皮特·蒙克心脏中心，大学健康网络） ； Medical Biophysics, University of Toronto（医学生物物理系，多伦多大学） ； Department of Computer Science, University of Toronto（计算机科学系，多伦多大学） ； Department of Laboratory Medicine and Pathobiology, University of Toronto（实验室医学与病理学系，多伦多大学） ； AI Hub, University Health Network（人工智能中心，大学健康网络） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.LG

Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data

Adel ElZemity, Budi Arief, Shujun Li

机构 * University of Kent（肯特大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

LLMs for energy and macronutrients estimation using only text data from 24-hour dietary recalls: a parameter-efficient fine-tuning experiment using a 10-shot prompt

Rodrigo M Carrillo-Larco

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.LG

Comments https://github.com/rodrigo-carrillo/LLMs-Macronutrient-Estimation-NHANES-Adolescents

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；SFT(abstract)；分类 cs.CL

Comments Project website: https://zhengkid.github.io/Parallel_R1.github.io/

Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD

Bryan Chen Zhengyu Tan, Daniel Wai Kit Chin, Zhengyuan Liu, Nancy F. Chen, Roy Ka-Wei Lee

机构 * Singapore University of Technology and Design (SUTD)（新加坡科技设计大学） ； Institute for Infocomm Research (I2R), A*STAR, Singapore（信息通信研究院） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL

Comments To appear at EMNLP 2025

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint

Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Qika Lin, Kai He, Ting Liu, Bing Qin, Mengling Feng

机构 * SCIR Lab, Harbin Institute of Technology, China（哈尔滨工业大学SCIR实验室） ； City University of Hong Kong（香港城市大学） ； National University of Singapore（新加坡国立大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；post-training(abstract)；分类 cs.CL

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning

Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai, Thanwadee Sunetnanta

机构 * Advanced Institute of So-Go-Chi (Convergence Knowledge) Informatics（融合知识研究院） ； Tohoku University（东北大学） ； Japan Advanced Institute of Science and Technology（日本先进科学研究院） ； Faculty of Information and Communication Technology（信息与通信技术学院） ； Mahidol University（玛希敦大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Journal ref Natural Language Processing and Information Systems (NLDB 2025)

Enhancing Technical Documents Retrieval for RAG

Songjiang Lai, Tsun-Hin Cheung, Ka-Chun Fung, Kaiwen Xue, Kwan-Ho Lin, Yan-Ming Choi, Vincent Ng, Kin-Man Lam

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.AI

Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction

Mohamed Basem, Islam Oshallah, Ali Hamdi, Khaled Shaban, Hozaifa Kassab

机构 * Dept. of Computer Science, MSA University（计算机科学系，MSA大学） ； Dept. of Computer Science, Qatar University（计算机科学系，卡塔尔大学） ； AiTech AU 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL

Comments 8 pages , 4 figures , Accepted in Aiccsa 2025 , https://conferences.sigappfr.org/aiccsa2025/

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering

Sishi Xiong, Ziyang He, Zhongjiang He, Yu Zhao, Changzai Pan, Jie Zhang, Zhenhe Wu, Shuangyong Song, Yongxiang Li

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

InsBank: Evolving Instruction Subset for Ongoing Alignment

Jiayi Shi, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Huan Ren, Yao Hu, Kan Li

机构 * School of Computer Science, Beijing Institute of Technology（计算机科学学院，北京理工大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；分类 cs.CL

TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning

Simin Ma, Shujian Liu, Jun Tan, Yebowen Hu, Song Wang, Sathish Reddy Indurthi, Sanqiang Zhao, Liwei Wu, Jianbing Han, Kaiqiang Song

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；分类 cs.AI

It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs

Yue Li, Zhixue Zhao, Carolina Scarton

机构 * Department of Computer Science, University of Sheffield, UK（计算机科学系，谢菲尔德大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Comments Accepted by EMNLP 2025

Exploring Efficient Learning of Small BERT Networks with LoRA and DoRA

Daniel Frees, Aditri Bhagirath, Moritz Bolling

机构 * Department of Statistics Stanford University（统计学系 斯坦福大学） ； Department of Computer Science Stanford University（计算机科学系 斯坦福大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.LG

Speechless: Speech Instruction Training Without Speech for Low Resource Languages

Alan Dao, Dinh Bach Vu, Huy Hoang Ha, Tuan Le Duc Anh, Shreyas Gopal, Yue Heng Yeo, Warren Keng Hoong Low, Eng Siong Chng, Jia Qi Yip

机构 * Menlo Research ； Nanyang Technological University（南洋理工大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Comments This paper was accepted by INTERSPEECH 2025

Journal ref Proc. Interspeech 2025, 3239-3243

LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining

Vira Pyrih, Adrian Rebmann, Han van der Aa

机构 * Faculty of Computer Science（计算机科学系） ； University of Vienna（维也纳大学） ； SAP Signavio 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Comments Accepted at IEEE ICPM 2025, 8 pages, 2 figures

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code

Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang

机构 * Department of Computer Science, City University of Hong Kong, Hong Kong（香港城市大学计算机科学系） ； Department of Electrical Engineering, University of Maryland, Maryland, United States（马里兰大学电气工程系） ； Amazon, Seattle, United States（亚马逊公司） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.AI

Towards Open-Ended Emotional Support Conversations in LLMs via Reinforcement Learning with Future-Oriented Rewards

Ting Yang, Li Chen, Huimin Wang

机构 * Hong Kong Baptist University（香港 Baptist 大学） ； Jarvis Lab（Jarvis 实验室） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning

Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang

机构 * DCST, Tsinghua University（清华大学数据科学研究院） ； Quan Cheng Laboratory（钱塘实验室） ； AIR, Tsinghua University（清华大学人工智能研究院） ； Huawei Noah's Ark Lab（华为诺亚实验室） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；SFT(abstract)；分类 cs.CL

Comments Accepted by CIKM'25

GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation

Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu

机构 * Department of Computer Science, Wayne State University, Detroit, MI, USA 48202（计算机科学系，韦恩州立大学） ； Department of Radiation Oncology, Henry Ford Health, Detroit, MI, USA 48202（放射肿瘤科，亨利福特健康） ； Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA 43210（电气与计算机工程系，俄亥俄州立大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；分类 cs.AI

Comments Accepted by European Conference on Artificial Intelligence (ECAI 2025)

Technical Report: Full-Stack Fine-Tuning for the Q Programming Language

Brendan R. Hogan, Will Brown, Adel Boyarsky, Anderson Schneider, Yuriy Nevmyvaka

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.LG

Comments 40 pages

Making Qwen3 Think in Korean with Reinforcement Learning

Jungyup Lee, Jemin Kim, Sang Park, SeungJae Lee

机构 * Jungyup Lee, Jemin Kim, Sang Park, SeungJae Lee（作者） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；SFT(abstract)；分类 cs.CL

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts

Zhenghao Liu, Xingsheng Zhu, Tianshuo Zhou, Xinyi Zhang, Xiaoyuan Yi, Yukun Yan, Ge Yu, Maosong Sun

机构 * Northeastern University, China（东北大学） ； Microsoft Research Asia（微软亚洲研究院） ； Tsinghua University（清华大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；分类 cs.AI